Development and validation of a machine-learning model for prediction of shoulder dystocia.
Abraham TsurL BatsryS Toussia-CohenM G RosensteinO BarakY BrezinovR Yoeli-UllmanE SivanM SirotaM L DruzinD K StevensonY J BlumenfeldD AranPublished in: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology (2021)
We developed a ML model for prediction of ShD and, in a different cohort, externally validated its performance. The model predicted ShD better than did estimated fetal weight either alone or combined with maternal diabetes, and was able to stratify the risk of ShD and neonatal injury in the context of suspected macrosomia. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.